Entropy of a discrete probability distribution

The 'forensIT' package is a comprehensive statistical toolkit tailored for handling missing person cases. By leveraging information theory metrics, it enables accurate assessment of kinship, particularly when limited genetic evidence is available. With a focus on optimizing statistical power, 'forensIT' empowers investigators to effectively prioritize family members, enhancing the reliability and efficiency of missing person investigations.

Franco Marsico

forensIT

Information Theory Tools for Forensic Analysis

Ariel Chernomoretz

H function

<dl><dt>px</dt>
<dd>probability distribution</dd>
<dt>epsilon</dt>
<dd>small number to avoid log(0)</dd>
<dt>normalized</dt>
<dd>boolean to normalize entropy</dd></dl>

Arguments

Entropy of a discrete probability distribution — H

<dl>

<dt>px</dt>
<dd>probability distribution</dd>


<dt>epsilon</dt>
<dd>small number to avoid log(0)</dd>


<dt>normalized</dt>
<dd>boolean to normalize entropy</dd>

</dl>

H: Entropy of a discrete probability distribution

Description

Usage

Value

Arguments